portkey-admin-mcp

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions what the tool checks (required fields and valid values) but doesn't describe the output format, error handling, or what happens on validation failure (e.g., returns errors, throws exceptions). For a validation tool with zero annotation coverage, this is a significant gap in behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose and key details. Every word earns its place with no redundancy or fluff, making it easy for an agent to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's validation purpose and lack of annotations/output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., validation result, error messages) or how failures are handled. For a tool with 5 parameters and no structured output documentation, this leaves critical gaps for an agent to use it effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all 5 parameters with descriptions and enums for 'app' and 'env'. The description adds minimal value by listing the required fields (client_id, app, env) but doesn't provide additional context beyond what's in the schema. This meets the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Validate billing metadata before running a completion.' It specifies the verb (validate) and resource (billing metadata) with a clear pre-condition context. However, it doesn't explicitly distinguish this from sibling tools like 'run_prompt_completion' or other validation-related tools, which prevents a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context ('before running a completion'), suggesting this should be used as a pre-check. However, it doesn't provide explicit guidance on when to use this versus alternatives (e.g., whether to use it for all completions or only specific cases), nor does it mention prerequisites or exclusions. This leaves some ambiguity for the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.